mirror of
https://github.com/langgenius/dify.git
synced 2024-11-16 11:42:29 +08:00
71 lines
2.5 KiB
Python
71 lines
2.5 KiB
Python
import logging
|
|
import time
|
|
|
|
import click
|
|
from celery import shared_task
|
|
|
|
from core.index.index import IndexBuilder
|
|
from extensions.ext_database import db
|
|
from models.dataset import DocumentSegment, Dataset, DatasetKeywordTable, DatasetQuery, DatasetProcessRule, \
|
|
AppDatasetJoin, Document
|
|
|
|
|
|
@shared_task
|
|
def clean_dataset_task(dataset_id: str, tenant_id: str, indexing_technique: str, index_struct: str):
|
|
"""
|
|
Clean dataset when dataset deleted.
|
|
:param dataset_id: dataset id
|
|
:param tenant_id: tenant id
|
|
:param indexing_technique: indexing technique
|
|
:param index_struct: index struct dict
|
|
|
|
Usage: clean_dataset_task.delay(dataset_id, tenant_id, indexing_technique, index_struct)
|
|
"""
|
|
logging.info(click.style('Start clean dataset when dataset deleted: {}'.format(dataset_id), fg='green'))
|
|
start_at = time.perf_counter()
|
|
|
|
try:
|
|
dataset = Dataset(
|
|
id=dataset_id,
|
|
tenant_id=tenant_id,
|
|
indexing_technique=indexing_technique,
|
|
index_struct=index_struct
|
|
)
|
|
|
|
documents = db.session.query(Document).filter(Document.dataset_id == dataset_id).all()
|
|
segments = db.session.query(DocumentSegment).filter(DocumentSegment.dataset_id == dataset_id).all()
|
|
|
|
vector_index = IndexBuilder.get_index(dataset, 'high_quality')
|
|
kw_index = IndexBuilder.get_index(dataset, 'economy')
|
|
|
|
# delete from vector index
|
|
if vector_index:
|
|
try:
|
|
vector_index.delete()
|
|
except Exception:
|
|
logging.exception("Delete doc index failed when dataset deleted.")
|
|
|
|
# delete from keyword index
|
|
try:
|
|
kw_index.delete()
|
|
except Exception:
|
|
logging.exception("Delete nodes index failed when dataset deleted.")
|
|
|
|
for document in documents:
|
|
db.session.delete(document)
|
|
|
|
for segment in segments:
|
|
db.session.delete(segment)
|
|
|
|
db.session.query(DatasetProcessRule).filter(DatasetProcessRule.dataset_id == dataset_id).delete()
|
|
db.session.query(DatasetQuery).filter(DatasetQuery.dataset_id == dataset_id).delete()
|
|
db.session.query(AppDatasetJoin).filter(AppDatasetJoin.dataset_id == dataset_id).delete()
|
|
|
|
db.session.commit()
|
|
|
|
end_at = time.perf_counter()
|
|
logging.info(
|
|
click.style('Cleaned dataset when dataset deleted: {} latency: {}'.format(dataset_id, end_at - start_at), fg='green'))
|
|
except Exception:
|
|
logging.exception("Cleaned dataset when dataset deleted failed")
|